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Phoronix

AMD Introduces An AI-Powered Bash Coding Agent

Just days after AMD engineers released a new Lemonade AI server with MCP server integration to make it much more useful, they have now released a new release of their GAIA "Generative AI Is Awesome" open-source software. With AMD GAIA 0.21.2, they have introduced a bash coding agent is their latest big ticket item in the AI space...

Phoronix

AMD ISP4 Driver Merged To Linux 7.2 Kernel

The media subsystem changes were merged tonight for the Linux 7.2 merge window and it includes the long-awaited AMD ISP4 driver now in the mainline kernel.. This ISP4 driver is what completes the loop for enabling the web camera on the HP ZBook Ultra G1a and other future high-end AMD Ryzen laptops...

LWN.net

The Software Freedom Conservancy's LLM-backed generative AI recommendations

The Software Freedom Conservancy (SFC) has announced the release of its recommendations for using LLM-backed generative AI systems for FOSS contributions. The recommendations were created by the SFC and volunteers from the free-software community. The recommendations reflect the extremely difficult dilemmas that these systems pose for FOSS contributors. SFC and its volunteers understand that FOSS developers are approaching LLM-gen-AI from a variety of perspectives. The recommendations offer practical assistance to minimize the damage caused by using proprietary systems, whether FOSS contributors reject LLM-gen-AI or choose (voluntarily or by employer mandate) to use them. These recommendations are best practices (but not definitions or requirements) that SFC and its volunteers formulated after careful study of the growing LLM-gen-AI use among FOSS contributors. SFC will follow these recommendations with a series of supporting materials, including documents, online tutorials, public Q&A

Linux Journal

The Growth of Vulnerability Management: The Rise of Agentic AI Pentesting

by Malana VanTyler Cybersecurity shifts fast. Manual penetration tests remain valuable, especially for nuanced attack paths and business-logic issues, but they are expensive, point-in-time, and difficult to run continuously. By the time a report is delivered, the environment may have already changed. Automated scanners improved coverage and frequency, but most still rely on known signatures, templated checks, and shallow validation. They can find obvious issues, but they rarely match the adaptive reasoning, chaining, and persistence of a skilled attacker.Platforms like XBOW help security teams move toward continuous validation by running AI-driven tests that mimic large-scale human attackers. This shift moves the focus from periodic assessment and reactive patching toward ongoing exposure management and earlier prevention. From Automation to Agency To appreciate the value of these modern platforms, it’s important to separate traditional automation from what is called β€œagentic” AI. Earl